AI and search
Applied AI in product content: enrichment, generative copy, GEO, agentic commerce and the EU AI Act.
AI in PIM: what delivers value in 2026
AI in PIM in 2026: which features deliver value, from attribute extraction and translation to agents and MCP servers, and how to evaluate vendor claims.
AI and searchGenerative AI for product descriptions: quality and governance
How to use generative AI for product descriptions safely: grounding in PIM attributes, review workflows, quality checks, labelling rules and EU AI Act context.
AI and searchAI enrichment: attribute extraction, classification and translation
AI product data enrichment explained: how attribute extraction, automated classification and machine translation work in PIM, and how to measure accuracy.
AI and searchGenerative engine optimisation (GEO) for product content
Generative engine optimisation (GEO) for product content: how AI assistants select products and which PIM attributes, structured data and feeds improve visibility.
AI and searchAgentic commerce: preparing product data for AI shopping agents
Agentic commerce explained for product data teams: ACP, UCP, AP2 and MCP, what AI shopping agents need from product feeds, and how to prepare PIM data.
AI and searchAI auto-tagging and visual search in DAM
AI auto-tagging and visual search in DAM explained: how image recognition and embeddings work, accuracy controls, AI image labelling and evaluation criteria.
AI and searchThe EU AI Act: what product content teams need to know
The EU AI Act for product content teams: Article 50 transparency duties from 2 August 2026, the Digital Omnibus delay, chatbots, AI images and practical steps.